Master of Information Technology

CRICOS Course Code – 114039D
Course ID – CRS1401463
AQF level – 9
Mode of Study – Blended
Outcome – Master of Information Technology

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals who work with data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

Students are encouraged to bring your own device (BYOD) for studying.

What You Will Study

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.

Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applying data analytics and artificial intelligence techniques to industry related projects.

Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

Career Outcomes

On successful completion of this course, students will demonstrate mastery of current theoretical principles and research outcomes in their major area of study to:

analyse complex real-world situations to identify opportunities for the application of advanced technological approaches that can transform existing organisations and support entrepreneurial business ventures;
critically analyse a complex problem, and evaluate a range of advanced technologies to select an appropriate solution methodology using an evidence-based justification;
generate creative solutions to address complex real-world problems by utilising advanced technologies and tools to design and implement software solutions and critically evaluate the outcomes;
communicate complex technical and theoretical concepts utilised in formulating detailed solution and implementation processes to a variety of audiences using advanced research, presentation and writing skills;
work collaboratively as a member and/or leader of diverse teams, employing appropriate interpersonal, professional, and technical communication skills;
critically analyse the role that legal compliance, ethical conduct and social responsibility play in advanced professional practice;
critically reflect on personal performance and learning as a basis for self-management and continuing professional and personal development.

Course Duration

The Master of Information Technology is a 2-year full-time course (or equivalent part-time). It is normally delivered over 4 study periods (2 study periods per year). Each study period consists of 12 teaching weeks plus a mid-study period break of 1 week and 2 assessment weeks.

Full-time students will normally enroll in 4 subjects per study period (8 subjects per year). Please allocate 10 hours per week for each subject. This includes 3 contact hours face-to-face on campus, plus 7 hours for personal/private study, totaling 40 hours per week for full-time study.

Students undertaking blended learning mode will attend lectures/seminars on campus. They will also submit assignments and complete some collaborative work online.

Total Course Hours
Contact Hours	576
Personal Study Hours	1344
TOTAL COURSE HOURS	1920

Course Structure

The Master of Information Technology is a postgraduate qualification consisting of 16 subjects (160 credit points), taught face to face in English, which normally takes two years of full-time study or part-time equivalent.

To be eligible to graduate from the Master of Information Technology students are required to complete the 16 subjects which must include:

8 core subjects including 2 capstone project subjects,
4 major subjects as per the chosen specialisation and
a curated selection of electives tailored to meet industry demand and emerging trends

AIAT offers the Master of Information Technology with specialisations in Emerging Technology Management, Applied Artificial Intelligence and Data Analytics (subject to availability). Students who are admitted in these advanced master's programs complete 16 subjects (160 credit points), which include the 8 mandatory core subjects, 4 specialist subjects based on the Emerging Technology Management, Applied Artificial Intelligence or Data Analytics majors, and 4 electives tailored to meet industry demand and emerging trends.

For more information, contact us on: helpdesk@aiat.edu.au

Core Subjects

Year 1

Study period	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
1	COM501	IT Professional Communication and Ethics	Core	NA	10
1	DAT501	Database Design and Implementation	Core	NA	10
1	PRO501	Introduction to Programming and Algorithms	Core	NA	10
2	PRO502	Artificial Intelligence	Core	PRO501	10
2	ENG501	Software Design and Development for Data Science	Core	PRO501 and DAT501	10

Year 2

Study period	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
3	CAP601	Final Project A (Analysis and Design)	Core	First year core and major subjects	10
4	COM602	Information Technology, Entrepreneurship and Innovation	Core	COM501	10
4	CAP602	Final Project B (Implementation)	Core	CAP601	10

Specialisation Requirements

Applied Artificial Intelligence

Year	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
2	PRO503	Programming AI Applications	Applied AI	DAT501 and PRO501	10
2	PRO606	Machine Learning	Applied AI	PRO502	10
2	PRO607	Intelligent Decision Making	Applied AI	PRO606	10
2	ENG502	Gen AI for Business	Applied AI	ENG501	10

Data Analytics

Year	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
2	DAT504	Data Wrangling	Data Analytics	DAT501	10
2	PRO606	Machine Learning	Data Analytics	PRO502	10
2	DAT608	Applications of Business Intelligence	Data Analytics	DAT504	10
2	ENG502	Gen AI for Business	Data Analytics	ENG501	10

Emerging Technology Management
Choose any 4 subjects from the following as majors:

Subject code	Subject name	Subject type / major	Credit points
MLI503	Data Analytics, AI and Decision Making	Emerging Technology Management	10
MLI507	Creative Thinking for Innovation and Strategy	Emerging Technology Management	10
MLI602	Digital Transformation Through Innovative Technologies	Emerging Technology Management	10
SEC601	Cybersecurity Management	Emerging Technology Management	10
MLI605	Project Management	Emerging Technology Management	10
MLI608	Business Intelligence & Data Visualisation	Emerging Technology Management	10
MLI501	Leading Contemporary Organisations	Emerging Technology Management	10
MLI500	Leadership and Innovation	Emerging Technology Management	10

Electives List (Subject to Availability)

Year 1

Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
MLI500	Leadership and Innovation	Elective	NA	10
MLI501	Leading Contemporary Organisations	Elective	NA	10
MLI503	Data Analytics, Artificial Intelligence and Decision Making	Elective	NA	10
MLI507	Creative thinking for innovation and strategy	Elective	NA	10
MLI506	Financial Strategies For Growth	Elective	NA	10

Year 2

Subject code	Subject name	Subject type / major	Pre/Co-requisites	Credit points
DIR602	Directed Study (IT)	Elective	NA	10
ENG601	ICT Project Management	Elective	NA	10
ML1602	Digital transformation through innovative technologies	Elective	NA	10
ML1608	Business Intelligence & Data Visualisation	Elective	NA	10
SEC501	Cybersecurity Management	Elective	NA	10

Career Outcomes

There are a wide range of opportunities for students with skills in the application of Artificial Intelligence and Data Analytics. Many organisations are seeking graduates who can manage large data sets and extract useful information from them. A recent SEEK.com search (March 16 2022), for example, identified 5452 positions that mentioned Data Analytics directly. The growing interest and use of AI is also providing opportunities with the SEEK.com survey listing 614 job opportunities in this area. It is likely, however, that employers who are seeking software and application developers will be attracted to a graduate who has software development skills with an AI emphasis on areas such as machine learning, perception and language, human-AI interaction, and decision-making. Some common employment options for graduates of the course include:

Data Engineer/Analyst/Scientist
Business Analyst
Business Intelligence Developer.
AI software developer.
Machine Learning Engineer.
Computer vision engineers.

Course Entry Requirements

Master of Information Technology Course Entry Requirements
Course:	Master of Information Technology
Minimum age criteria: all applicants	Applicants must be at least 18 years of age on the course commencement date.
Applicants with higher education study: (bridging or enabling course)	Must have an Australian Bachelor’s degree (AQF level 7) or overseas equivalent in any discipline.
Applicants with Vocational Education and Training (VET) study:	Not Applicable
Applicants with work and life experience:	Not Applicable
Applicants with recent secondary education:	Not Applicable
Assumed knowledge: all applicants	Assumed to have studied mathematics or a related subject in an undergraduate degree or final year of secondary education. Those without may still apply and are encouraged to participate in support activities.
Additional admission criteria for international students:	Applicants must meet the English Language requirements outlined in AIAT’s Admissions Policy and Procedure. Minimum requirements: Completion of two years or more of study in Australia Successful completion of an Australian Year 12 program Completion of an AIAT-approved English language course Approved English language test scores: IELTS (Academic) Overall 6.5 (min. 6.0 in each sub-score) TOEFL paper-based: 550 (min. 4.5 in TWE) TOEFL IBT: 79 (min. 18 in writing) PTE: 60 (no skill score < 45) CAE Level B2 (176)
Special entry pathway: (exceptional circumstances)	Refer to the Admissions Policy and Admissions Procedure. Applicants may be eligible for special entry in exceptional circumstances in line with AIAT’s Admissions Policy. Special Entry: Applicants whose study has been impacted by circumstances such as disability, illness or family disruption will be given special consideration for admission. Each application will be considered on its merit, based on the evidence supplied by the applicant attesting to the circumstances of the applicant. Applicants applying for special entry are required to meet the criteria of demonstrating their ability to study at the level required for the degree by satisfactory completion of one or more of the following: Written or numerical tasks Interview with the applicant Written assignment which demonstrates their knowledge and abilities in the discipline area Statement from previous education institution Other evidence as required
Applicants with Indigenous Australian background:	Priority admission and Indigenous-specific scholarships are available for those confirming Aboriginal or Torres Strait Islander heritage. Contact the Director, Learning and Teaching for support.
Additional Note: Admission requirements are assessed per AIAT’s Admissions Policy and Procedures. Meeting criteria does not guarantee admission.

What You Will Study

Career Outcomes

Course Duration

Course Structure

Core Subjects

Specialisation Requirements

Electives List (Subject to Availability)

Career Outcomes

Course Entry Requirements

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Information Technology